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flair-ner
julien-c/flair-ner
flair-ner is a token classification model from julien-c. Use it when you need labels on individual words, such as names. It is set up for flair.
Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/
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At a glance
- Task
- Token Classification
- Library
- flair
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 26, 2020
- SHA
- 9b28741e
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Datasets
Model card
From the Hugging Face model README
Flair NER model en-ner-conll03-v0.4.pt
Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/
Demo: How to use in Flair
from flair.data import Sentence
from flair.models import SequenceTagger
sentence = Sentence(
"My name is Julien, I currently live in Paris, I work at Hugging Face, Inc."
)
tagger = SequenceTagger.load("julien-c/flair-ner")
# predict NER tags
tagger.predict(sentence)
# print sentence with predicted tags
print(sentence.to_tagged_string())
yields the following output:
My name is Julien <S-PER> , I currently live in Paris <S-LOC> , I work at Hugging <B-LOC> Face <E-LOC> .
Thanks @stefan-it for the Flair integration ❤️ 🔥
- Task
- Token Classification
- Library
- flair
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Nov 26, 2020